Transportation Research Interdisciplinary Perspectives,
Journal Year:
2024,
Volume and Issue:
25, P. 101132 - 101132
Published: May 1, 2024
The
United
States
faces
urban
issues
like
congestion
and
pollution
due
to
heavy
car
dependency,
with
over
91%
owning
cars
87%
driving
work.
In
response
these
challenges,
various
shared
mobility
solutions
have
been
integrated
into
transportation
systems,
encompassing
bike-sharing,
e-scooter
sharing,
ride-hailing,
but
not
seen
widespread
adoption.
To
this
end,
study
investigates
the
perception
of
services
in
context
benefits
barriers.
A
survey
was
conducted
Indianapolis,
Indiana
distributed
online,
gathering
424
responses.
Latent
class
analysis
(LCA)
used
determine
groups
individuals
similar
perceptions.
LCA
identified
three
classes
regarding
perceptions
benefits,
others
relation
Regarding
include
"Casual
observers
benefits,"
predominantly
comprising
older,
less
active
females;
"Benefits
proponents,"
featuring
a
majority
young,
well-educated,
higher-income
males
who
prioritize
health;
"Non-believers
primarily
consisting
older
individuals,
often
identifying
as
black,
lower
incomes
commuting.
terms
barriers,
are
"Indifferent
about
barriers,"
mainly
younger,
lower-income
individuals;
"Shared
bystanders,"
characterized
by
infrequent
work
commutes;
"Barrier
conscious,"
mostly
including
racially
diverse
complex
commuting
patterns.
both
barriers
categories,
largest
consist
neutral
perspectives
on
mobility,
signifying
that
substantial
portion
population
has
fully
embraced
services.
recommends
policies
promote
significant
segment.
Smart Cities,
Journal Year:
2023,
Volume and Issue:
6(1), P. 368 - 391
Published: Jan. 28, 2023
Based
on
cited
literature,
it
can
be
observed
that
the
bike
road
system
is
an
important
part
of
Smart
Mobility.
The
amount
bicycle
roads
seen
as
one
technical-infrastructure
indicators
used
to
measure
potential
Mobility
system.
Taking
this
into
account
analysis
development
in
particular
provinces
Poland,
which
conducted
paper
a
contribution
knowledge
about
Cities
area
This
publication
uses
data
operation
Poland
from
2012
2021
for
analysis.
It
collected
by
Polish
Central
Statistical
Office.
covered
last
10
years.
latest
currently
available
terms
complete
statistics
are
2021,
and
was
decided
end
year.
all
16
were
analyzed
paper.
main
finding
correlation
between
GDP
(Gross
Domestic
Product)
length
Poland.
Also,
very
connected
with
geographical
patterns
correlations
variables
allows
us
conclude
more
invested
paths
located
northwestern
than
would
result
wealth
measured
per
capita.
In
particular,
case
Greater
Pomerania,
Kuyavia-Pomerania.
By
contrast,
central
southwestern
investments
individual
smaller
their
level
suggest.
situation
particularly
Opole
Province,
Lesser
Lower
Silesia,
Subcarpatia,
Holy
Cross.
For
these
should
recommended
accelerate
construction
new
roads,
will
have
positive
impact
quality
life
residents
smart
cities
well
ecology.
Analysis
functioning
element
City
example
Provinces.
Sensors,
Journal Year:
2024,
Volume and Issue:
24(7), P. 2074 - 2074
Published: March 24, 2024
The
Internet
of
Things
(IoT)
is
a
critical
component
smart
cities
and
key
contributor
to
the
achievement
United
Nations
Sustainable
Development
Goal
(UNSDG)
11:
Cities
Communities.
IoT
an
infrastructure
that
enables
devices
communicate
with
each
other
over
Internet,
providing
components
for
cities,
such
as
data
collection,
generation,
processing,
analysis,
application
handling.
IoT-based
applications
can
promote
sustainable
urban
development.
Many
studies
demonstrate
how
improve
cities’
This
systematic
literature
review
provides
valuable
insights
into
utilization
in
context
particular
focus
on
its
implications
Based
analysis
73
publications,
we
discuss
role
development
focusing
communities,
transportation,
disaster
management,
privacy
security,
emerging
applications.
In
domain,
have
detailed
attributes
sensors.
addition,
examined
various
communication
technologies
protocols
suitable
transmitting
sensor-generated
data.
We
also
presented
methods
analyzing
integrating
these
within
layer.
Finally,
identify
research
gaps
literature,
highlighting
areas
require
further
investigation.
Future Internet,
Journal Year:
2024,
Volume and Issue:
16(2), P. 47 - 47
Published: Jan. 30, 2024
Smart
cities,
leveraging
advanced
data
analytics,
predictive
models,
and
digital
twin
techniques,
offer
a
transformative
model
for
sustainable
urban
development.
Predictive
analytics
is
critical
to
proactive
planning,
enabling
cities
adapt
evolving
challenges.
Concurrently,
techniques
provide
virtual
replica
of
the
environment,
fostering
real-time
monitoring,
simulation,
analysis
systems.
This
study
underscores
significance
systems
support
test
scenarios
that
identify
bottlenecks
enhance
smart
city
efficiency.
paper
delves
into
crucial
roles
citizen
report
prediction,
technologies
at
neighborhood
level.
The
integrates
extract,
transform,
load
(ETL)
processes,
artificial
intelligence
(AI)
methodology
process
interpret
streams
derived
from
interactions
with
city’s
coordinate-based
problem
mapping
platform.
Using
an
interactive
GeoDataFrame
within
methodology,
dynamic
entities
facilitate
simulations
based
on
various
scenarios,
allowing
users
visualize,
analyze,
predict
response
system
approach
reveals
antecedent
patterns,
trends,
correlations
physical
level
each
area,
leading
improvements
in
functionality,
resilience,
resident
quality
life.
Smart Cities,
Journal Year:
2023,
Volume and Issue:
6(2), P. 1009 - 1042
Published: March 18, 2023
The
analysis
of
scientific
research
described
in
peer-reviewed
journals
demonstrates
the
significance
bicycle
road
networks
relation
to
smart
mobility.
This
was
conducted
for
European
Union
cities
that
meet
criteria
having
a
developed
route
network
and
are
ranked
among
top
100
bicycle-friendliest
2021.
study
also
analyzed
whether
each
city
on
national
or
international
lists
had
initiatives.
indicates
comprehensive
well-developed
paths
is
crucial
element
development
mobility
solutions
within
modern
city.
Among
EU
countries,
northern
central
Europe,
particularly
Germany,
Sweden,
Finland,
Denmark,
Netherlands,
have
best-developed
networks.
correlation
between
average
temperature
level
country
values
bike
lanes
showed
statistically
significant
negative
two
variables.
lower
country’s
annual
temperature,
more
infrastructure
present
its
cities,
as
measured
by
length
saturation
with
per
square
kilometer
1000
residents.
After
removing
outliers
(Finland,
Ireland,
Luxembourg),
relationship
observed
wealth
density
cities.
linear
coefficient
roads
GDP
capita
found
be
−0.73,
which
high
value.
Smart
cities,
leveraging
advanced
data
analytics,
predictive
models,
and
digital
twin
techniques,
offer
a
transformative
model
for
sustainable
urban
development.
Predictive
analytics
plays
crucial
role
in
proactive
planning,
enabling
cities
to
adapt
evolving
challenges.
Concurrently,
techniques
provide
virtual
replica
of
the
environment,
fostering
real-time
monitoring,
simulation,
analysis
systems.
This
research
underscores
significance
systems
support
test
scenarios
that
identify
bottlenecks
enhance
smart
city
efficiency.
The
paper
delves
into
roles
citizen
report
prediction,
technologies
at
neighborhood
level.
study
integrates
ETL/ELT
processes,
AI
methodology
process
interpret
streams
derived
from
interactions
with
city's
coordinate-based
problem
mapping
platform.
By
employing
an
interactive
GeoDataFrame
within
methodology,
dynamic
entities
facilitate
simulations
based
on
various
scenarios.
approach
enables
users
visualize,
analyze,
predict
response
system
Consequently,
antecedent
patterns,
trends,
correlations
are
visualized
physical
level
each
area,
leading
improvements
functionality,
resilience,
resident
quality
life.
